{
  "id": 5432,
  "url": "https://arxiv.org/abs/2604.22030v1",
  "title": "A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration",
  "summary": "The rapid development of GenAI technologies is transforming learning, assessment, and academic production in higher education. Despite increasing student adoption, many institutions lack operational mechanisms to systematically align regulations and curricula with evolving generative artificial intelligence practices, creating regulatory ambiguity and academic integrity risks. This study investigates how students utilize generative artificial intelligence tools in computer science-oriented disci",
  "authors": "Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schön",
  "category": "research",
  "topics": "regulation,children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-23T19:46:15.000Z",
  "fetched_at": "2026-07-14T16:31:44.625Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5432",
  "original_url": "https://arxiv.org/abs/2604.22030v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}